Keynote Speakers

 

  • Professor Diego Galar

Prof. Diego Galar holds a M.Sc. in Telecommunications and a PhD degree in Design and Manufacturing from the University of Saragossa. He has been Professor in several universities, including the University of Saragossa or the European University of Madrid, researcher in the Department of Design and Manufacturing Engineering in the University of Saragossa, researcher also in I3A, Institute for engineering research in Aragon, director of academic innovation and subsequently pro-vice-chancellor. He has authored more than two hundred journal and conference papers, books and technical reports in the field of maintenance, working also as member of editorial boards, scientific committees and chairing international journals and conferences. In industry, he has been technological director and CBM manager of international companies, and actively participated in national and international committees for standardization and R&D in the topics of reliability and maintenance. Currently, he is Professor of Condition Monitoring in the Division of Operation and Maintenance Engineering at LTU, Luleå University of Technology and Porfessor of Reliability and Maintenance in Skovde University, where he is coordinating several EUFP7 projects related to different maintenance aspects and was also involved in the SKF UTC centre located in Lulea focused in SMART bearings. He is also actively involved in national projects with the Swedish industry and also funded by Swedish national agencies like Vinnova. In the international arena, he has been visiting Professor in the Polytechnic of Braganza (Portugal), University of Valencia and NIU (USA), currently, University of Sunderland (UK) and University of Maryland (USA). He is also guest professor in the Pontificia Universidad Católica de Chile.

 

Abstract

Virtual Assets and Virtual Commissioning: Digitization in Industry 4.0

For complex assets, much information needs to be captured and mined to assess the overall condition of the whole system including the one from design and manufacturing which obviously contains the physical knowledge. Therefore, the integration of asset information during the entire lifecycle is required to get an accurate health assessment of the whole system.
Moreover, the lack of data on advanced degraded states due to early replacements and “black swans” makes the  data-driven approach vulnerable to such situations. The risk related to these scenarios, despite their low  latency,  is  not  acceptable,  especially  for  assets  for  which  safety  is  a  must. Therefore, there is a need to augment datasets before training data-driven algorithms. For this purpose Data covering a wider range of scenarios can be obtained by synthetic data generated by physics-based models. These models need to be realistic and provide meaningful and comparable information about the behavior of asset.  
New technologies involving big data, cloud computing, IoT etc.. can help the use/owner/maintainer/designer to perform a virtual commissioning of the asset where it is digitized and virtualized combining the existing physical models with the data collected from the field and produce a digital twin containing both data driven and physical information. This virtualization allows the user to produce data regarding situations and scenarios which didn’t happen yet or are very rare. These new data sets ca be blindly fused to obtain a hybrid model and go one step beyond the digital twins.
This talk will discuss the possibilities that lie within applying the analytics concept by the means of virtualization i.e virtual commissioning of the assets through hybrid data fusion and integration from a systems perspective.